xfyun-image-understanding
CommunityDescribe images with iFlytek Spark Vision.
Software Engineering#websocket#image-understanding#vision-model#python-stdlib#spark-vision#iFlytek#ai-image-analysis
AuthorJaykaijack
Version1.0.0
Installs0
System Documentation
What problem does it solve?
iFlytek Spark Vision-based image understanding enables automated description of visual content and answering questions about images via a WebSocket API, using pure Python stdlib without pip dependencies.
Core Features & Use Cases
- Describe an image: Generate natural-language descriptions of visual scenes from a given image file.
- Ask a question about an image: Interactively query objects, scenes, or details in the image and receive targeted responses.
- Pure stdlib WebSocket client: Demonstrates a dependency-free client using only Python's standard library for WebSocket communication.
- Setup & credentials: Requires environment variables XFYUN_APP_ID, XFYUN_API_KEY, and XFYUN_API_SECRET.
Quick Start
Run python3 scripts/image_understanding.py photo.jpg to describe the image, and use -q to ask a question about it.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: xfyun-image-understanding Download link: https://github.com/Jaykaijack/openclaw-backup/archive/main.zip#xfyun-image-understanding Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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